A particularity of the leak detection classification problem is that high sensitivity is easier to achieve than high specificity and precision. The leak detection network is designed in such a way that the sound generated by potential leaks has a high probability of exciting the sensors. The sensor placement takes into account the statistics of acoustic power generated by leakage events and the attenuation of acoustic waves in water pipes. Thus, sensitivity depends greatly on the quality of the hardware and system configuration. A system able to detect changes in sound power originated from leaks for the majority of cases has a relatively high sensitivity (Equation (8)). The no-leak cases are more difficult to classify as the sensors could be excited by other noise sources than leaks, such as traffic, wind, rain, or other ambient noise sources. This is reflected in Table 1 by the higher classification rate for leaks (over 85%) and lower figures for no-leaks.
As the access to this document is restricted, you may want to search for a different version of it. CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item. asHTMLHTML with abstractplain textplain text with abstractBibTeXRIS (EndNote, RefMan, ProCite)ReDIFJSON Cited by: Zelan Li & Yijia Cao & Le Van Dai & Xiaoliang Yang & Thang Trung Nguyen, 2019."Optimal Power Flow for Transmission Power Networks Using a Novel Metaheuristic Algorithm,"Energies, MDPI, vol. 12(22), pages 1-36, November. Ali Salmasnia & Sadegh Noori & Hadi Mokhtari, 2019."A redundancy allocation problem by using utility function method and ant colony optimization: tradeoff between availability and total cost,"International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(3), pages 416-428, June. Mandhir Kumar Verma & Vivekananda Mukherjee & Vinod Kumar Yadav & Santosh Ghosh, 2020."Constraints for effective distribution network expansion planning: an ample review,"International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 531-546, June. Kuang-Hua Hu & Ming-Fu Hsu & Fu-Hsiang Chen & Mu-Ziyun Liu, 2021."Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment,"Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December. Lenin Kanagasabai, 2022."Real power loss reduction by quantum based Ptilonorhynchus violaceus optimization and Haliastur Indus algorithms,"International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1913-1931, August. More about this item Keywords Enhanced ant colony optimization; Optimal power flow; Ecological emission; Emission economic dispatch; All these keywords.Statistics Access and download statistics Corrections All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:9:y:2018:i:1:d:10.1007_s13198-016-0471-x. See general information about how to correct material in RePEc.
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